Attacks, Defenses and Testing for Deep Learning

This book provides a systematic study on the security of deep learning. With its powerful learning ability, deep learning is widely used in CV, FL, GNN, RL, and other scenarios. However, during the process of application, researchers have revealed that deep learning is vulnerable to malicious attack...

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Détails bibliographiques

Auteurs principaux:	Chen, Jinyin (Auteur), Zhang, Ximin (Auteur), Zheng, Haibin (Auteur)
Collectivité auteur:	SpringerLink (Online service)
Format:	Électronique eBook
Langue:	anglais
Publié:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Édition:	1st ed. 2024.
Sujets:	Artificial intelligence. Computer engineering. Computer networks . Neural networks (Computer science) . Artificial Intelligence. Computer Engineering and Networks. Mathematical Models of Cognitive Processes and Neural Networks.
Accès en ligne:	https://doi.org/10.1007/978-981-97-0425-5
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